Evidence map›Paper›PMID 31484499›Full record

SynthesisBMC emergency medicine2019

Diagnostic accuracy of clinical tools for assessment of acute stroke: a systematic review.

Daria Antipova, Leila Eadie, Ashish Macaden, Philip Wilson

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC emergency medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 79 citations in OpenAlex.

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  16. Multicenter comparison using two AI stroke CT perfusion software packages for determining thrombectomy eligibility.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Daria AntipovaCentre for Rural Health, University of Aberdeen, Old Perth Road, Inverness, IV2 3JH, UK. daria.antipova@abdn.ac.uk.ORCID 0000-0002-0267-1903
Leila EadieCentre for Rural Health, University of Aberdeen, Old Perth Road, Inverness, IV2 3JH, UK.
Ashish MacadenDepartment of Stroke and Rehabilitation, Raigmore Hospital, NHS Highland, Inverness, IV2 3UJ, UK.
Philip WilsonCentre for Rural Health, University of Aberdeen, Old Perth Road, Inverness, IV2 3JH, UK.
University of Aberdeen · GBRaigmore Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRecanalisation therapy in acute ischaemic stroke is highly time-sensitive, and requires early identification of eligible patients to ensure better outcomes. Thus, a number of clinical assessment tools have been developed and this review examines their diagnostic capabilities.

methodsDiagnostic performance of currently available clinical tools for identification of acute ischaemic and haemorrhagic strokes and stroke mimicking conditions was reviewed. A systematic search of the literature published in 2015-2018 was conducted using PubMed, EMBASE, Scopus and The Cochrane Library. Prehospital and in-hospital studies with a minimum sample size of 300 patients reporting diagnostic accuracy were selected.

resultsTwenty-five articles were included. Cortical signs (gaze deviation, aphasia and neglect) were shown to be significant indicators of large vessel occlusion (LVO). Sensitivity values for selecting subjects with LVO ranged from 23 to 99% whereas specificity was 24 to 97%. Clinical tools, such as FAST-ED, NIHSS, and RACE incorporating cortical signs as well as motor dysfunction demonstrated the best diagnostic accuracy. Tools for identification of stroke mimics showed sensitivity varying from 44 to 91%, and specificity of 27 to 98% with the best diagnostic performance demonstrated by FABS (90% sensitivity, 91% specificity). Hypertension and younger age predicted intracerebral haemorrhage whereas history of atrial fibrillation and diabetes were associated with ischaemia. There was a variation in approach used to establish the definitive diagnosis. Blinding of the index test assessment was not specified in about 50% of included studies.

conclusionsA wide range of clinical assessment tools for selecting subjects with acute stroke has been developed in recent years. Assessment of both cortical and motor function using RACE, FAST-ED and NIHSS showed the best diagnostic accuracy values for selecting subjects with LVO. There were limited data on clinical tools that can be used to differentiate between acute ischaemia and haemorrhage. Diagnostic accuracy appeared to be modest for distinguishing between acute stroke and stroke mimics with optimal diagnostic performance demonstrated by the FABS tool. Further prehospital research is required to improve the diagnostic utility of clinical assessments with possible application of a two-step clinical assessment or involvement of simple brain imaging, such as transcranial ultrasonography.

Indexed as

Diagnosis, DifferentialHumansIschemic Attack, TransientSensitivity and SpecificitySeverity of Illness IndexStrokeAcute cerebral ischaemiaClinical prediction rulesEmergency careIntracerebral haemorrhageLarge vessel occlusionRecanalizationScoring methodsStrokeThrombectomyThrombolysis

Identifiers

PMID31484499
PMCPMC6727516
OpenAlexW2971864817

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.